At a Glance
- Tasks: Develop AI models for engineering, analyse data, and validate methodologies.
- Company: Swansea University, in collaboration with The Welding Institute.
- Benefits: Fully funded scholarship covering tuition and a UKRI stipend.
- Other info: Gain hands-on experience with industry challenges and expert supervision.
- Why this job: Make a real impact in engineering with cutting-edge AI research.
- Qualifications: 2:1 degree in Engineering, Computer Science, or related fields.
The predicted salary is between 19350 - 23650 £ per year.
Swansea University is offering a fully funded EPSRC TWI-sponsored PhD scholarship focused on the development and application of artificial intelligence (AI) models within engineering contexts. This doctoral research opportunity is based within the Faculty of Science and Engineering and will be conducted in collaboration with The Welding Institute (TWI), a leading industrial research and technology organisation.
The project aims to advance AI-driven modelling approaches for engineering applications, with a particular focus on improving predictive capabilities, optimisation processes, and data-driven decision-making in industrial systems. The successful candidate will work at the interface of artificial intelligence, data science, and engineering, contributing to innovative research with direct industrial relevance. The role involves developing computational models, analysing complex datasets, and validating AI methodologies in collaboration with academic and industry partners.
The PhD programme provides access to state-of-the-art research facilities, expert supervision, and opportunities for professional development. The candidate will also benefit from close engagement with TWI, gaining exposure to real-world engineering challenges and industry practices.
The scholarship covers full tuition fees and includes a UKRI standard stipend. The position is offered on a full-time basis for a standard doctoral duration, subject to satisfactory academic progress.
Eligibility Criteria
- A minimum of a 2:1 undergraduate degree (or equivalent) in Engineering, Computer Science, Data Science, Mathematics, or a closely related discipline
- Candidates must meet UKRI eligibility requirements for funding (home and international applicants may be considered, subject to funding rules)
Required Expertise/Skills
- Strong background in artificial intelligence, machine learning, or data science
- Knowledge of engineering principles or interest in applying AI to engineering problems
- Experience with programming languages such as Python or similar
- Familiarity with data analysis, modelling, and computational methods
- Strong analytical, problem-solving, and research skills
- Excellent communication skills and ability to work collaboratively in interdisciplinary teams
Salary Details
Full tuition fees covered and UKRI standard stipend (rate in line with UKRI guidelines)
EPSRC TWI-Sponsored PhD Scholarship in AI Models for Engineering (RS939) in Swansea employer: RFCSR
At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our interdisciplinary approach not only encourages professional growth through diverse research opportunities but also allows you to make a meaningful impact in the fields of engineering and biomedical research. Located in the vibrant city of London, our institution offers a dynamic environment where creativity thrives and employees are supported in their career development.
StudySmarter Expert Advice🤫
We think this is how you could land EPSRC TWI-Sponsored PhD Scholarship in AI Models for Engineering (RS939) in Swansea
✨Join Engineering Meetups!
Get yourself along to local engineering meetups or tech conferences. These are great places to connect with like-minded folks and industry leaders who might just have a lead on that full-time EPSRC TWI-Sponsored PhD Scholarship in AI Models for Engineering (RS939) role you’re after at RFCSR.
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We think you need these skills to ace EPSRC TWI-Sponsored PhD Scholarship in AI Models for Engineering (RS939) in Swansea
Some tips for your application 🫡
Showcase Your Technical Expertise:When applying for an engineering role like EPSRC TWI-Sponsored PhD Scholarship in AI Models for Engineering (RS939), it’s essential to highlight your technical skills. Include any relevant software or tools you're proficient in on your CV—think CAD software, simulation tools, or programming languages. Don't skimp on any engineering projects you've worked on that demonstrate your ability to solve complex problems.
Focus on Results and Impact:In the engineering world, we love numbers and real-world impact. Quantify your achievements wherever possible—like reducing costs by a certain percentage, improving efficiency, or successfully completing a project ahead of schedule. This gives your future employers at RFCSR a clear picture of the value you can bring.
Craft a Compelling Cover Letter:Use your cover letter to express your passion for engineering and explain why you’re drawn to RFCSR specifically. Share what aspects of their work excite you and how your values align with theirs. This is your chance to show a bit of personality while keeping it professional!
Include Relevant Certifications:If you have any engineering certifications, especially ones that are recognised in your field, make sure to feature them prominently on your CV. They demonstrate not just your knowledge, but also your commitment to professional development, which is something we at StudySmarter value highly.
How to prepare for a job interview at RFCSR
✨Brush Up on Core Engineering Principles
Before heading into the interview with RFCSR, make sure you're solid on the fundamental engineering principles relevant to the role. Be ready to discuss concepts such as thermodynamics, fluid mechanics, or structural analysis, depending on the specifics mentioned in the job description. Don’t skip any hands-on projects or coursework; these can be excellent talking points!
✨Show Off Your Problem-Solving Skills
Expect technical questions or case studies during your interview—after all, engineering is all about solving problems! Prepare a few examples of how you've tackled engineering challenges in the past, whether at university or in any practical experience. Practising with mock technical interviews can really help you articulate your thought process and solutions.
✨Relate Your Experience to the Role
In a full-time role, employers like RFCSR want to see that you can adapt and grow within their team. Be ready to discuss how your previous internships, projects, or studies relate directly to the work you'll be doing. Highlight specific experiences that showcase your collaborative skills and how you've successfully worked within a team environment.
✨Know Your Tools and Software
Most engineering roles require familiarity with specific tools and software. Prepare to talk about your proficiency with programmes like AutoCAD, MATLAB, or SolidWorks if they’re relevant to the role. Even better, have examples of projects where you’ve used these tools, as it'll demonstrate your hands-on experience and readiness for the job.
